Zhang et al. (2026) Classification of Cloud Phases in Cold-Air Outbreak Events Based on Polarization Lidar and Cloud Radar Observations

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Yu Zhang, Haoran Li, Zhaolong Wu, Fuxin Yao, Zhuozhi Shu, Ming Yin, Yao Ge, Yongjie Huang, Zixu Wang, Weiguo Zhang
• DOI: 10.1109/tgrs.2026.3663561

Research Groups

[Information not available from the provided text.]

Short Summary

This paper classifies cloud phases during cold-air outbreak events using polarization lidar and cloud radar observations.

Objective

• To classify cloud phases in cold-air outbreak events.

Study Configuration

• Spatial Scale: Atmospheric, likely local to regional (implied by observational instruments).
• Temporal Scale: Event-based, focusing on "cold-air outbreak events".

Methodology and Data

• Models used: [Information not available from the provided text, but classification algorithms would be implied.]
• Data sources: Polarization lidar observations, cloud radar observations.

Main Results

[Information not available from the provided text.]

Contributions

[Information not available from the provided text.]

Funding

[Information not available from the provided text.]

Citation

@article{Zhang2026Classification,
  author = {Zhang, Yu and Li, Haoran and Wu, Zhaolong and Yao, Fuxin and Shu, Zhuozhi and Yin, Ming and Ge, Yao and Huang, Yongjie and Wang, Zixu and Zhang, Weiguo},
  title = {Classification of Cloud Phases in Cold-Air Outbreak Events Based on Polarization Lidar and Cloud Radar Observations},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3663561},
  url = {https://doi.org/10.1109/tgrs.2026.3663561}
}